VISION STATEMENT
Enable transformative solutions for DRC health challenges through the application of geospatial insights
MISSION STATEMENT
Support Ministry of Health strategy, improved decision making and enhanced service delivery through geospatial methodologies
PRIORITY 1: Guarantee Availability and Application of High-Quality Geospatial Data and Tools
1A: Curriculum Development and Institutionalization at Accredited Training Institutions
HIGH PRIORITY
Geospatial Curriculum Development & Piloting
Develop, pilot, and institutionalize comprehensive geospatial training curriculum at Universities of Kinshasa and Lubumbashi to build sustainable in-country capacity for health geospatial applications.
Lead Partners:
KSPH (Kinshasa School of Public Health), UF Team
Supporting:
Ministry of Health, Universities of Kinshasa & Lubumbashi
Timeline:
Jul 2025 - Jan 2026 (18 months)
Funding:
Umbrella Funds
Estimated Budget: $100,000
Addresses Challenges:
• Insufficient Geospatial Capacity• Limited trained personnel in geospatial methodologies
• Inadequate institutional capacity at national/subnational levels
Expected Results:
• 50+ health professionals trained in geospatial methods• Training curriculum adopted by 2 universities
• Sustainable institutional capacity established
• MOOC platform with training materials deployed
Key Implementation Activities
| Activity | Lead | Timeline | Status |
|---|---|---|---|
| Inception & Contracting | UF Team, KSPH | Jul 2025 | Ongoing |
| Stakeholder Mapping | KSPH | Aug 2025 | Completed |
| Curriculum Development | KSPH | Sep 2025 | Planned |
| Pilot Training | KSPH | Oct-Nov 2025 | Planned |
| Institutionalization | KSPH, Universities | Jan 2026 | Planned |
1B: National Geospatial Data System Strengthening
HIGH PRIORITY
ANICNS Georegistry Enterprise Architecture Development
Support ANICNS (Agence Nationale d'Identification de la Population) to develop comprehensive enterprise architecture for the health georegistry, updated geospatial base layers including health facility locations, administrative boundaries, and population data for all 26 provinces.
Lead Partners:
BlueSquare, ANICNS, UF Team
Supporting:
Ministry of Health, DSNIS
Timeline:
Jul - Oct 2025
Funding:
Umbrella Funds
Estimated Budget: $75,390
Addresses Challenges:
• Limited Geospatial Data Infrastructure• Insufficient mapping capabilities and spatial analysis tools
• Poor spatial targeting for program delivery
Expected Results:
• Complete and validated health georegistry architecture for DRC• Harmonized list of existing data sources and systems
• Preliminary data registry collaboration and coordination mechanisms
• National data governance and interoperability framework established
Implementation Milestones
| Milestone | Lead | Date |
|---|---|---|
| Inception Meeting | BlueSquare, ANICNS | 18-Jul |
| Current Status Analysis | BlueSquare, ANICNS | 7-Aug |
| Stakeholder Identification | BlueSquare, ANICNS | 7-Aug |
| Data Collection Framework | BlueSquare, ANICNS | 7-Aug |
| Stakeholder Workshop | BlueSquare, ANICNS | 11-Sep |
| Technical Framework Development | BlueSquare, UF Team | 25-Sep |
| ANICNS Validation | ANICNS | 2-Oct |
| Final Reporting | BlueSquare, UF Team | 9-Oct |
1C: Subnational Geospatial Data System Strengthening
HIGH PRIORITY
Digital Equipment Inventory Management System
Develop and deploy a centralized digital platform for tracking and managing health equipment across all 26 provinces, enabling real-time inventory management, utilization monitoring, and equipment sharing optimization.
Lead Partners:
ANICNS, DSNIS, CHAI or TBD Technology Partner, UF Team
Supporting:
Ministry of Health, SG Office, Provincial Health Divisions
Timeline:
Oct 2025 - May 2026
Funding:
Umbrella Funds
Shared (Cross-Program)
Estimated Budget: $100,000 - $150,000
Addresses Challenges:
• Limited Equipment and Technology• Poor equipment tracking systems
• Inadequate resource allocation
• Limited digital infrastructure at subnational level
Expected Results:
• Digital inventory system deployed in pilot provinces• Real-time equipment tracking and utilization data
• 25% improvement in equipment utilization rates
• Strategy for national rollout and MoH integration
• Trained administrators in selected provinces
Phased Implementation Plan
| Phase | Activities | Timeline |
|---|---|---|
| Inception | Partner selection, stakeholder mapping | Oct 2025 |
| Assessment | Baseline survey, tool development | Nov 2025 |
| System Design | Platform design, database development | Dec 2025 - Jan 2026 |
| Strategy Development | Utilization strategy, policy guidelines | Jan - Feb 2026 |
| Pilot Testing | Training, pilot deployment, feedback | Feb - Mar 2026 |
| Full Deployment | National rollout, MoH handover | Apr - May 2026 |
PRIORITY 2: National Central Data Repository with Real-Time Geospatial Integration
2A: Integrated National Health Data Infrastructure
HIGH PRIORITY
Unified Vision
A single, comprehensive intervention combining real-time geospatial analytics with a secure, centralized repository to provide a national-level health intelligence system. This unified platform enables decision-makers to track disease trends, vaccination coverage, cold chain access, and facility performance across all 26 provinces, while ensuring interoperability, sustainability, and ownership under ANICNS and Ministry of Health.
Current State vs. Integrated Solution
Current State (Fragmented):
• DHIS2 modules for routine data (limited geospatial capability)
• Kobo/ODK tools for surveys (not integrated with routine systems)
• Private partner platforms (Excel, custom databases) with no interoperability
• Program-specific vertical databases (polio, malaria, RI operate separately)
• No standardized data governance or sharing protocols
• DHIS2 modules for routine data (limited geospatial capability)
• Kobo/ODK tools for surveys (not integrated with routine systems)
• Private partner platforms (Excel, custom databases) with no interoperability
• Program-specific vertical databases (polio, malaria, RI operate separately)
• No standardized data governance or sharing protocols
This Integrated Solution Provides:
1. One National Source of Truth: Harmonized, cross-program repository with consistent standards and governance
2. Real-Time + Historical Integration: Live operational dashboards with long-term standardized data storage
3. Geospatial Intelligence Layer: ESRI-DHIS2 mapping capacity within national repository framework
4. Cross-Program Optimization: Shared infrastructure avoiding duplication of data pipelines and IT resources
5. Institutional Ownership & Sustainability: Anchored within ANICNS and MoH with provincial capacity building
1. One National Source of Truth: Harmonized, cross-program repository with consistent standards and governance
2. Real-Time + Historical Integration: Live operational dashboards with long-term standardized data storage
3. Geospatial Intelligence Layer: ESRI-DHIS2 mapping capacity within national repository framework
4. Cross-Program Optimization: Shared infrastructure avoiding duplication of data pipelines and IT resources
5. Institutional Ownership & Sustainability: Anchored within ANICNS and MoH with provincial capacity building
Project Details
Lead Partners:
ANICNS (Owner), Ministry of Health, DSNIS, ESRI, DHIS2 Core Team/HISP, Technical Contractor (TBD)
Supporting:
MoH IT Teams, SG Office, Provincial Health Divisions, Donor Partners (Gavi, Global Fund, BMGF, WHO)
Timeline:
18 months (2025-2027) - Phased implementation
Funding:
Shared Cross-Program Pool
New Funding Required
Estimated Budget: $1.5M - $2.0M (18 months)
Combines repository development with geospatial integration through pooled donor funding
Combines repository development with geospatial integration through pooled donor funding
Challenges Addressed
• Fragmented Health Information Systems with no interoperability
• Weak Data Integration across programs and partners
• Poor Surveillance & Monitoring due to lack of real-time data
• Limited Geospatial Analysis in routine DHIS2
• Duplicate Infrastructure Investments across programs
• Partner Dependency with no government ownership or sustainability plan
• Weak Data Integration across programs and partners
• Poor Surveillance & Monitoring due to lack of real-time data
• Limited Geospatial Analysis in routine DHIS2
• Duplicate Infrastructure Investments across programs
• Partner Dependency with no government ownership or sustainability plan
Expected Results (18-Month Horizon)
Infrastructure:
• National repository operational with 5+ automated data sources
• Real-time ESRI-DHIS2 dashboards deployed in priority provinces
• Secure API access for authorized users and systems
• All existing data systems successfully integrated/migrated
Capacity & Ownership:
• 20+ ANICNS/MoH staff trained and managing system independently
• 50+ provincial staff using dashboards for daily operations
• Government-endorsed governance framework operational
• MoH budget commitment secured for long-term maintenance
Cross-Programmatic Impact:
• Integrated disease surveillance enabling coordinated outbreak response across health programs
• Joint campaign planning and resource optimization reducing operational costs by 25-30%
• Unified geographic targeting of underserved populations across all health interventions
• Shared analytical frameworks enabling evidence-based policy decisions at national and provincial levels
• Elimination of data collection duplication through harmonized data flows and standardized indicators
• Enhanced donor coordination through transparent, real-time visibility of program coverage and gaps
• National repository operational with 5+ automated data sources
• Real-time ESRI-DHIS2 dashboards deployed in priority provinces
• Secure API access for authorized users and systems
• All existing data systems successfully integrated/migrated
Capacity & Ownership:
• 20+ ANICNS/MoH staff trained and managing system independently
• 50+ provincial staff using dashboards for daily operations
• Government-endorsed governance framework operational
• MoH budget commitment secured for long-term maintenance
Cross-Programmatic Impact:
• Integrated disease surveillance enabling coordinated outbreak response across health programs
• Joint campaign planning and resource optimization reducing operational costs by 25-30%
• Unified geographic targeting of underserved populations across all health interventions
• Shared analytical frameworks enabling evidence-based policy decisions at national and provincial levels
• Elimination of data collection duplication through harmonized data flows and standardized indicators
• Enhanced donor coordination through transparent, real-time visibility of program coverage and gaps
2A: Implementation Approach
PHASES
Workstreams & Implementation Timeline
| Workstream | Key Activities | Expected Outcome |
|---|---|---|
| Phase 0: Donor/Stakeholder Alignment (Months 1-3) |
• Comprehensive donor and stakeholder mapping • Assessment of existing systems and investments • Document current data flows and pain points • Identify integration/migration opportunities • Develop business case for pooled investment |
Stakeholder buy-in achieved with clear understanding of how existing investments will be protected and integrated |
| Phase 1: Integration Planning & Governance (Months 2-6) |
• Secure donor commitments for pooled funding • Establish joint steering committee • Develop migration strategy for existing systems • Design integration architecture • Finalize data governance framework |
Funding secured and governance established with all donors/partners aligned on integration approach |
| Phase 2: Repository Backbone (Months 4-12) |
• Establish cloud infrastructure • Migrate/integrate data from existing systems • Build automated ETL pipelines • Develop metadata & documentation system • Implement data quality validation frameworks |
National repository operational with automated data ingestion from 5+ sources |
| Phase 3: Real-Time Geospatial Integration (Months 8-15) |
• ESRI-DHIS2 integration design and deployment • Integrate existing mapping tools and geodata • Develop program-specific dashboards • Mobile accessibility for field teams • Connect to central repository |
Unified dashboards operational for vaccination, malaria, and polio programs with real-time geospatial intelligence |
| Phase 4: Capacity Transfer & Sustainability (Months 10-18) |
• Train ANICNS & MoH IT teams • Train provincial teams on dashboard use • Develop SOPs and training materials • Implement pilots in 3-5 provinces • Secure MoH budget commitment |
Sustainable operations achieved with government ownership and national/provincial capacity for independent management |
2A: Sustainability Framework
GOVERNMENT OWNERSHIP
Government Ownership Structure
• ANICNS designated as technical owner with full administrative control
• MoH provides strategic oversight and policy direction
• Provincial health divisions as primary users and beneficiaries
• All code, systems, and documentation transferred to government by Month 18
• MoH provides strategic oversight and policy direction
• Provincial health divisions as primary users and beneficiaries
• All code, systems, and documentation transferred to government by Month 18
Financial Sustainability
• MoH budget line item for maintenance (annually) secured by Month 12
• Pooled donor fund for major upgrades (Year 2-5) managed through joint mechanism
• Efficiency savings from consolidated systems (annually) documented
• Optional cost-recovery from external research access to platform
• Pooled donor fund for major upgrades (Year 2-5) managed through joint mechanism
• Efficiency savings from consolidated systems (annually) documented
• Optional cost-recovery from external research access to platform
Technical Sustainability
• 20+ ANICNS/MoH staff trained in system administration
• 50+ provincial staff trained in data management and quality assurance
• Comprehensive documentation, SOPs, and training materials in French
• Local technical support contracts established for ongoing maintenance
• 50+ provincial staff trained in data management and quality assurance
• Comprehensive documentation, SOPs, and training materials in French
• Local technical support contracts established for ongoing maintenance
Institutional Sustainability
• Data governance framework endorsed by MoH and codified in policy
• Inter-agency TWGs institutionalized with clear mandates
• System integrated into national health strategy and planning processes
• Model documented for potential replication in neighboring countries
• Inter-agency TWGs institutionalized with clear mandates
• System integrated into national health strategy and planning processes
• Model documented for potential replication in neighboring countries
PRIORITY 3: GIST Workstream Interventions
3A: ANICNS Governance and Coordination
GIST COORDINATION
Why
ANICNS requires strengthened governance structures and coordination mechanisms to effectively serve as the central health data hub for the DRC, ensuring aligned priorities and seamless operational workflows across multiple programs and partners.
How - Main Activities
1. Establish National Data Governance Framework: Design and implement comprehensive accountability structures with clear roles, performance metrics, and decision-making protocols
2. Provide ANICNS Technical Support: Draft, validate, and institutionalize data repository proposal with dedicated consultant; lead stakeholder engagement and establish M&E framework
3. Lead Inter-Agency Technical Working Groups: Organize and facilitate TWGs for geospatial, routine, and survey data harmonization with regular stakeholder sessions
4. Develop Data Protection and Sharing Policies: Draft, validate, and institutionalize policies on data protection, sharing protocols, ethical standards, and quality assurance through stakeholder workshops
5. Build ANICNS Capacity: Deliver targeted training on strategic coordination, data governance, technical oversight, stakeholder engagement, and partnership management
2. Provide ANICNS Technical Support: Draft, validate, and institutionalize data repository proposal with dedicated consultant; lead stakeholder engagement and establish M&E framework
3. Lead Inter-Agency Technical Working Groups: Organize and facilitate TWGs for geospatial, routine, and survey data harmonization with regular stakeholder sessions
4. Develop Data Protection and Sharing Policies: Draft, validate, and institutionalize policies on data protection, sharing protocols, ethical standards, and quality assurance through stakeholder workshops
5. Build ANICNS Capacity: Deliver targeted training on strategic coordination, data governance, technical oversight, stakeholder engagement, and partnership management
Who
Lead:
GIST Team
Partners:
ANICNS, MoH Directorates (DSNIS, DEP, etc), Governmental Health Programs (PNLP, PRONANUT, PEV, PNLT, PNECHOL, etc), Implementing Partners, Donors
Funding:
GIST (No Additional Funds Required)
Challenges Addressed
• Fragmented coordination across multiple health programs and partners
• Unclear accountability structures for health data management
• Insufficient institutional capacity at ANICNS for coordination and technical oversight
• Absence of standardized data governance policies and quality assurance mechanisms
• Limited inter-program collaboration and data harmonization
• Unclear accountability structures for health data management
• Insufficient institutional capacity at ANICNS for coordination and technical oversight
• Absence of standardized data governance policies and quality assurance mechanisms
• Limited inter-program collaboration and data harmonization
3B: MoH/SG Strategic Coordination and Partnership Facilitation
GIST COORDINATION
Why
Effective coordination between the Ministry of Health, Governmental Health Programs, ANICNS, and provincial teams is essential for aligned activities, shared priorities, and collaborative problem-solving. Strong partnerships ensure sustained political commitment and operational efficiency.
How - Main Activities
1. Facilitate Data-Sharing Agreements: Develop formal and informal agreements between programs to enable cross-program analysis and integrated planning
2. Convene Monthly Cross-Program Coordination Meetings: Organize and institutionalize regular meetings between PSTs, ANICNS, and provincial teams to align activities, share updates, and identify collaboration opportunities
3. Provide MoH Policy Advocacy Support: Support MoH, SG, and ANICNS in developing policy briefs and advocacy materials to secure government buy-in and budget allocation for geospatial initiatives
4. Establish Geospatial Peer Mentorship Network: Connect experienced practitioners from high-performing provinces with emerging teams to enable peer-to-peer learning and mentorship
2. Convene Monthly Cross-Program Coordination Meetings: Organize and institutionalize regular meetings between PSTs, ANICNS, and provincial teams to align activities, share updates, and identify collaboration opportunities
3. Provide MoH Policy Advocacy Support: Support MoH, SG, and ANICNS in developing policy briefs and advocacy materials to secure government buy-in and budget allocation for geospatial initiatives
4. Establish Geospatial Peer Mentorship Network: Connect experienced practitioners from high-performing provinces with emerging teams to enable peer-to-peer learning and mentorship
Who
Lead:
GIST Team
Partners:
MoH Secretary General, ANICNS, DSNIS, Governmental Health Programs, Provincial Health Divisions, Implementing Partners
Funding:
GIST (No Additional Funds Required)
Challenges Addressed
• Siloed program operations with limited cross-program data sharing
• Irregular coordination meetings leading to misaligned priorities
• Insufficient government buy-in and budget allocation for geospatial systems
• Limited peer learning opportunities between provinces with varying capacity levels
• Weak collaboration mechanisms between central and provincial teams
• Irregular coordination meetings leading to misaligned priorities
• Insufficient government buy-in and budget allocation for geospatial systems
• Limited peer learning opportunities between provinces with varying capacity levels
• Weak collaboration mechanisms between central and provincial teams
3C: Transition Planning and Sustainability Support
GIST COORDINATION
Why
Ensuring long-term sustainability requires deliberate planning for government ownership, alternative funding mechanisms, and continued technical support beyond donor-funded project timelines. Without transition planning, systems risk becoming obsolete or non-functional after project closure.
How - Main Activities
1. Develop Transition and Handover Roadmaps: Work with ANICNS and MoH to create detailed transition plans for all geospatial systems, tools, and capacities to ensure smooth transition to government ownership and continuity
2. Identify and Connect with Alternative Funding Sources: Support ANICNS in identifying and developing relationships with potential long-term funding partners interested in health data systems
3. Establish Alumni Networks for Long-Term Support: Create networks of trained professionals who can continue to provide peer support and knowledge sharing beyond formal program activities
4. Support Sustainability Policy and Institutional Advocacy: Assist MoH and ANICNS in integrating geospatial systems into health policies, supporting the creation of decrees for geospatial units, engaging provincial health committees to promote data-driven planning, and building coalitions across government and donors
2. Identify and Connect with Alternative Funding Sources: Support ANICNS in identifying and developing relationships with potential long-term funding partners interested in health data systems
3. Establish Alumni Networks for Long-Term Support: Create networks of trained professionals who can continue to provide peer support and knowledge sharing beyond formal program activities
4. Support Sustainability Policy and Institutional Advocacy: Assist MoH and ANICNS in integrating geospatial systems into health policies, supporting the creation of decrees for geospatial units, engaging provincial health committees to promote data-driven planning, and building coalitions across government and donors
Who
Lead:
GIST Team
Partners:
ANICNS, MoH Directorates, Provincial Health Divisions, Donor Partners (Gavi, Global Fund, Gates Foundation, WHO, UN, BAD, etc)
Funding:
GIST (No Additional Funds Required)
Challenges Addressed
• Risk of system discontinuity after donor-funded projects end
• Limited government budget allocation for geospatial systems
• Absence of long-term funding mechanisms for data infrastructure
• Insufficient institutional integration of geospatial systems into health policies
• Lack of structured peer support networks after training programs conclude
• Limited government budget allocation for geospatial systems
• Absence of long-term funding mechanisms for data infrastructure
• Insufficient institutional integration of geospatial systems into health policies
• Lack of structured peer support networks after training programs conclude
3D: National and Regional Stakeholder Engagement
GIST COORDINATION
Why
Positioning the DRC as a regional leader in geospatial health data systems requires strategic stakeholder engagement, high-level advocacy, and knowledge sharing platforms. Regional visibility attracts additional funding, technical partnerships, and policy influence while strengthening DRC's voice in continental health data discussions.
How - Main Activities
1. Conduct Strategic Stakeholder Analysis and Partnership Mapping: Identify stakeholders and map their influence across DRC health programs, highlighting geospatial data needs, capacity gaps, and decision workflows. Develop partnership matrix with ANICNS, MoH directorates, provincial divisions, and donors. Define targeted engagement strategies for each stakeholder group
2. Develop Contextualized Funding and Technical Proposals: Collaborate with ANICNS, MoH, and health teams to develop resource proposals based on DRC's health system realities and GIST's goals. Focus on geospatial solutions to enhance ANICNS's georegistry for all 26 provinces, build interoperable platforms linking health facility data and service coverage, and develop digital infrastructure for real-time disease surveillance and resource allocation
3. Position DRC as Regional Leader Through Strategic Showcasing: Amplify DRC's geospatial achievements through high-level forums, technical webinars, and field visits convening GIST leadership, MoH/ANICNS officials, donor partners, and regional stakeholders. Facilitate knowledge transfer and model replication across Central and East Africa while strengthening DRC's voice in regional health data policy discussions
2. Develop Contextualized Funding and Technical Proposals: Collaborate with ANICNS, MoH, and health teams to develop resource proposals based on DRC's health system realities and GIST's goals. Focus on geospatial solutions to enhance ANICNS's georegistry for all 26 provinces, build interoperable platforms linking health facility data and service coverage, and develop digital infrastructure for real-time disease surveillance and resource allocation
3. Position DRC as Regional Leader Through Strategic Showcasing: Amplify DRC's geospatial achievements through high-level forums, technical webinars, and field visits convening GIST leadership, MoH/ANICNS officials, donor partners, and regional stakeholders. Facilitate knowledge transfer and model replication across Central and East Africa while strengthening DRC's voice in regional health data policy discussions
Who
Lead:
GIST Team
Partners:
ANICNS, MoH Secretary General, Program Secretariats, Donor Partners (Gavi, Global Fund, Gates Foundation, WHO, UN, BAD), Regional Bodies (African Union, Africa CDC), Neighboring Countries
Funding:
GIST (No Additional Funds Required)
Challenges Addressed
• Limited visibility of DRC's geospatial achievements at regional and continental levels
• Insufficient alignment of funding proposals with DRC's specific health system realities
• Weak integration of geospatial solutions in national health planning processes
• Limited south-south collaboration and knowledge exchange opportunities
• Insufficient DRC representation in regional health data policy discussions
• Need for sustained advocacy to attract long-term technical and financial partnerships
• Insufficient alignment of funding proposals with DRC's specific health system realities
• Weak integration of geospatial solutions in national health planning processes
• Limited south-south collaboration and knowledge exchange opportunities
• Insufficient DRC representation in regional health data policy discussions
• Need for sustained advocacy to attract long-term technical and financial partnerships
3E: Technical Advisory and Quality Assurance
GIST TECHNICAL DELIVERY
Why
Provincial teams and program secretariats require ongoing technical guidance to address specific geospatial challenges, ensure data quality, and maintain methodological consistency. Accessible technical support enables teams to troubleshoot problems, improve analytical outputs, and sustain system functionality.
How - Main Activities
1. Facilitate Problem-Solving Clinics: Host bi-weekly virtual "office hours" where provincial and program teams can bring specific geospatial challenges for collaborative problem-solving with GIST technical experts
2. Provide Technical Advisory Support: Offer ongoing technical guidance to ANICNS and provincial teams through virtual consultations, e-mail support, and troubleshooting sessions using existing GIST team capacity
3. Conduct Quality Assurance and Data Management Reviews: Review geospatial data quality, methodologies, and analytical outputs from provincial teams using existing technical expertise to ensure standards compliance and provide feedback
2. Provide Technical Advisory Support: Offer ongoing technical guidance to ANICNS and provincial teams through virtual consultations, e-mail support, and troubleshooting sessions using existing GIST team capacity
3. Conduct Quality Assurance and Data Management Reviews: Review geospatial data quality, methodologies, and analytical outputs from provincial teams using existing technical expertise to ensure standards compliance and provide feedback
Who
Lead:
GIST Technical Delivery Team
Partners:
ANICNS, DSNIS, DEP, PEV, Provincial Geospatial Teams, Program Technical Teams
Funding:
GIST (No Additional Funds Required)
Challenges Addressed
• Limited access to timely technical support for geospatial challenges
• Inconsistent data quality and methodological approaches across provinces
• Insufficient feedback mechanisms for analytical outputs
• Need for continuous technical guidance to sustain system functionality
• Limited platforms for collaborative problem-solving between teams
• Inconsistent data quality and methodological approaches across provinces
• Insufficient feedback mechanisms for analytical outputs
• Need for continuous technical guidance to sustain system functionality
• Limited platforms for collaborative problem-solving between teams